Abstract :
This study provides a reflection of the increasing Artificial intelligence intervention in recruitment practices in the Bangalore high-tech industry. AI resume screening, candidate sourcing, and initial assessments are gaining popularity with several companies as well as established startups, such as Goldman Sachs, Infosys, Wipro, and TCS. Based on a review of literature, industry white papers, and conceptual models such as research advertisements, this paper explicates how AI is gaining momentum and aiding faster recruitment cycles, that is, reducing time-to-hire and minimizing human bias, thus ensuring a better experience of the candidate. Through the lens of a theoretical basis, this also deals with some crucial dilemmas, such as ethical questions, data privacy, and the possible overreliance on technology in hiring. We propose a strategic recruitment model that fuses AI-driven automation and human judgment to optimize decision-making quality. This study adds to the ongoing debate concerning AI in HRM by providing implications for HR policymakers and practitioners in Bangalore's IT sector. The report calls for responsible AI to balance fairness, transparency, and accountability in talent acquisition. The results of this analysis will be used to help guide our future HR strategies and assist us in adopting the right balance of technology-enabled tools in recruitment, making the human factor a core part of what drives recruitment.
Keyword :
Artificial intelligence, AI application, Recruitment, Innovation.